Oral Biology

Saliva Studies.- Gene Therapy of Salivary Diseases.- Collection, Storage, and Processing of Saliva Samples for Downstream Molecular Applications.- Proteomic Analysis of Saliva: 2D Gel Electrophoresis, LC-MS/MS, and Western Blotting.- Transcriptomic Analyses of Saliva.- Oral Microbiology.- The Oral Microbiota: General Overview, Taxonomy, and Nucleic Acid Techniques.- Microbial Community Profiling Using Terminal Restriction Fragment Length Polymorphism (T-RFLP) and Denaturing Gradient Gel Electrophoresis (DGGE).- Protocols to Study the Physiology of Oral Biofilms.- Adhesion of Yeast and Bacteria to Oral Surfaces.- Quantitative Analysis of Periodontal Pathogens by ELISA and Real-Time Polymerase Chain Reaction.- Bacterial Viability Determination in a Dentinal Tubule Infection Model by Confocal Laser Scanning Microscopy.- Characterization of Anti-competitor Activities Produced by Oral Bacteria.- Natural Transformation of Oral Streptococci.- Use of In Vivo-Induced Antigen Technology (IVIAT) to Identify Virulence Factors of Porphyromonas gingivalis.- Oral Bacterial Genome Sequencing Using the High-Throughput Roche Genome Sequencer FLX System.- Use of a Yeast-Based Membrane Protein Expression Technology to Overexpress Drug Resistance Efflux Pumps.- Cells and Tissues.- Explant Culture of Embryonic Craniofacial Tissues: Analyzing Effects of Signaling Molecules on Gene Expression.- A Method to Isolate, Purify, and Characterize Human Periodontal Ligament Stem Cells.- Preclinical Methods for the Evaluation of Periodontal Regeneration In Vivo.- Proteomic Analysis of Dental Tissue Microsamples.- Immunological Techniques: ELISA, Flow Cytometry, and Immunohistochemistry.- Analysis of Immune Responses to Purified Recombinant Antigens of Periodontal Pathogens.- Single-Strand ConformationPolymorphism Analysis for the Diagnosis of T-Cell Clonality in Periodontal Disease.- Real-Time PCR Focused-Gene Array Profiling of Gingival and Periodontal Ligament Fibroblasts.- The Use of Gene Arrays in Deciphering the Pathobiology of Periodontal Diseases.- Bioinformatics Techniques in Microarray Research: Applied Microarray Data Analysis Using R and SAS Software.